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» A Probability Model to Improve Word Alignment
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CVIU
2006
131views more  CVIU 2006»
13 years 7 months ago
Edge affinity for pose-contour matching
We present an approach for whole-body pose contour matching. Contour matching in natural images in the absence of foreground-background segmentation is difficult. Usually an asymm...
V. Shiv Naga Prasad, Larry S. Davis, Son Dinh Tran...
TASLP
2008
229views more  TASLP 2008»
13 years 7 months ago
System Combination for Machine Translation of Spoken and Written Language
This paper describes an approach for computing a consensus translation from the outputs of multiple machine translation (MT) systems. The consensus translation is computed by weigh...
Evgeny Matusov, Gregor Leusch, Rafael E. Banchs, N...
COLING
2010
13 years 2 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
EMNLP
2010
13 years 5 months ago
Joint Inference for Bilingual Semantic Role Labeling
We show that jointly performing semantic role labeling (SRL) on bitext can improve SRL results on both sides. In our approach, we use monolingual SRL systems to produce argument c...
Tao Zhuang, Chengqing Zong
EMNLP
2010
13 years 5 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...